Objective:To investigate the current status of implementing medical insurance performance evaluation in the hospitals of China under the background of China Healthcare Security Diagnosis Related Groups (CHS-DRG) and Diagnosis-Intervention Packet (DIP) payment reform, explore the perspectives and recommendations of key department leaders (e.g., health insurance, medical affairs, pricing, and performance evaluation departments) regarding health insurance performance evaluation, analyze the influencing factors in its implementation, so as to provide references for hospitals to develop and refine health insurance performance evaluation strategies.Methods:A questionnaire was designed and distributed to hospitals across 31 provincial-level administrative regions in China from December 1 to 31, 2023. The survey targeted secondary and tertiary general or specialized hospitals. The main responsible persons from four functional departments, including medical insurance, healthcare, pricing, and performance, were invited to participate in the survey. Descriptive analysis was conducted on the questionnaire data, and the chi-square test was used for differential analysis of unordered categorical variables, while the Wilcoxon rank sum test was used for differential analysis of ordered categorical variables.Results:A total of 761 valid questionnaires were collected. Most respondents were health insurance department leaders (420, 55.19%). Among them, 741 respondents reported that their hospitals used CHS-DRG or DIP payment, with 258 indicating that their hospitals had already developed and implemented health insurance performance evaluation plans. A majority (685, 90.01%) expressed support for such initiatives. Influencing factor analysis revealed that hospital type, level, scope of health insurance management departments, and payment methods might impact the implementation of health insurance performance evaluation ( P<0.05). Conclusions:Few hospitals have currently adopted health insurance performance evaluation, underscoring the urgency to establish a scientific and reasonable evaluation plan as a robust tool for internal hospital management.

Objective:To analyze the cost and structural impact of the new technology"transhysteroscopic mechanical rotary excision of abnormal uterine tissues"on the DRG group of"surgery for intrauterine lesions"under the DRG payment method,and to provide clinical data for supporting the development of the exclusion policy for the new technology and new items.Methods:Cases in which transhysteroscopic mechanical rotary excision of abnormal uterine tissues was used in the gynecology day unit of the Peking Union Medcial College Hospital from March 2022 to November 2023,which were paid for under the DRG group of"surgery for intrauterine pathology",were retrospectively analyzed for the impact of the new technology on the cost and structure of the cases.Results:The price of"transhysteroscopic mechanical rotary excision of abnormal uterine tissues"in the Beijing Medical Service Price Item Specification is 8 000 yuan(Class C out-of-pocket expenses),which is higher than the payment standard of 6 866 yuan for the NE19 group,and the use of this new technology significantly increased the total hospitalization medical cost,the out-of-pocket ratio of the patients and the surgical cost,which led to an increase in the burden of the patients and the loss of the hospitals.Conclusion:"Transhysteroscopic mechanical rotary excision of abnormal uterine tissue"has the advantages of improving patients'prognosis and accelerating recovery,shortening operation time,avoiding intraoperative thermal injuries,and shortening the learning curve of doctors,etc.Policy makers should take into account cost control,patients'prognosis and the development of medical technology,scientifically and prudently formulate the exclusion policy of the new technology,reasonably determine the payment standard,and make good use of the exclusion policy and the payment standard.

Objective This study aims to explore the application value of spectral CT and perfusion CT parameters in the pathological classification and prognostic assessment of lung cancer.Methods A total of 94 lung cancer patients confirmed by pathology at Shanghai Chest Hospital from January 2023 to November 2024 were included in the study,including 49 cases of lung adenocarcinoma(LUAD),30 cases of lung squamous cell carci-noma(LUSC),and 15 cases of small cell lung cancer(SCLC).All patients underwent spectral CT combined with perfusion scanning using a 256-slice Revolution Apex from GE.Two radiologists independently measured the spectral and perfusion parameters of the three groups of images,including spectral curve slope(K),iodine concentration in the lesion area(ICL),effective atomic number(Zeff),surface permeability(PS),and perfusion index(PI),and established a lung cancer pathological subtype discrimination prediction model based on spectral CT radiomics features.All subjects were randomly divided into a training group and a validation group at a ratio of 3∶1.The discrimination efficacy of the spectral discrimination model between different pathological subtypes and the discrimination efficacy of arterial and venous phase images were compared in multiple dimensions.The performance of the model was evaluated using the receiver operating characteristic(ROC)curve.Results Statistical analysis showed that the spectral curve slope,ICL,NIC,and Zeff of LUAD patients were significantly higher than those of LUSC and SCLC patients(P<0.05),while there were no significant differences in these parameters between LUSC and SCLC patients(P>0.05).Among the perfusion CT parameters,surface permeability(PS)showed significant differences among the three groups(P<0.05),while blood volume(BV),blood flow(BF),perfusion index(PI),time to peak(TTP),and mean transit time(MTT)did not show statistical differences.The multi-factor logistic regression model based on spectral parameters showed strong discriminatory performance:the area under the curve(AUC)of the LUAD and LUSC discrimination model was 0.806/0.77(training group/test group)in the arterial phase and 0.867/0.9(training group/test group)in the venous phase;the AUC of the LUAD and SCLC discrimination model was 0.885/0.883(training group/test group)in the arterial phase and 0.851/0.776(training group/test group)in the venous phase.Conclusion This study indicates that the multi-dimensional functional metabolic analysis indicators of spectral and perfusion CT imaging have significant value in the differential diagnosis of lung cancer pathological subtypes.The diagnostic model constructed by combining multiple spectral parameters can significantly improve the discrimination efficacy of lung adenocarcinoma,squamous cell carcinoma,and small cell lung cancer,providing precise imaging evidence for the formulation of individualized treatment plans.

Objective:To analyze the cost and structural impact of the new technology"transhysteroscopic mechanical rotary excision of abnormal uterine tissues"on the DRG group of"surgery for intrauterine lesions"under the DRG payment method,and to provide clinical data for supporting the development of the exclusion policy for the new technology and new items.Methods:Cases in which transhysteroscopic mechanical rotary excision of abnormal uterine tissues was used in the gynecology day unit of the Peking Union Medcial College Hospital from March 2022 to November 2023,which were paid for under the DRG group of"surgery for intrauterine pathology",were retrospectively analyzed for the impact of the new technology on the cost and structure of the cases.Results:The price of"transhysteroscopic mechanical rotary excision of abnormal uterine tissues"in the Beijing Medical Service Price Item Specification is 8 000 yuan(Class C out-of-pocket expenses),which is higher than the payment standard of 6 866 yuan for the NE19 group,and the use of this new technology significantly increased the total hospitalization medical cost,the out-of-pocket ratio of the patients and the surgical cost,which led to an increase in the burden of the patients and the loss of the hospitals.Conclusion:"Transhysteroscopic mechanical rotary excision of abnormal uterine tissue"has the advantages of improving patients'prognosis and accelerating recovery,shortening operation time,avoiding intraoperative thermal injuries,and shortening the learning curve of doctors,etc.Policy makers should take into account cost control,patients'prognosis and the development of medical technology,scientifically and prudently formulate the exclusion policy of the new technology,reasonably determine the payment standard,and make good use of the exclusion policy and the payment standard.

Objective This study aims to explore the application value of spectral CT and perfusion CT parameters in the pathological classification and prognostic assessment of lung cancer.Methods A total of 94 lung cancer patients confirmed by pathology at Shanghai Chest Hospital from January 2023 to November 2024 were included in the study,including 49 cases of lung adenocarcinoma(LUAD),30 cases of lung squamous cell carci-noma(LUSC),and 15 cases of small cell lung cancer(SCLC).All patients underwent spectral CT combined with perfusion scanning using a 256-slice Revolution Apex from GE.Two radiologists independently measured the spectral and perfusion parameters of the three groups of images,including spectral curve slope(K),iodine concentration in the lesion area(ICL),effective atomic number(Zeff),surface permeability(PS),and perfusion index(PI),and established a lung cancer pathological subtype discrimination prediction model based on spectral CT radiomics features.All subjects were randomly divided into a training group and a validation group at a ratio of 3∶1.The discrimination efficacy of the spectral discrimination model between different pathological subtypes and the discrimination efficacy of arterial and venous phase images were compared in multiple dimensions.The performance of the model was evaluated using the receiver operating characteristic(ROC)curve.Results Statistical analysis showed that the spectral curve slope,ICL,NIC,and Zeff of LUAD patients were significantly higher than those of LUSC and SCLC patients(P<0.05),while there were no significant differences in these parameters between LUSC and SCLC patients(P>0.05).Among the perfusion CT parameters,surface permeability(PS)showed significant differences among the three groups(P<0.05),while blood volume(BV),blood flow(BF),perfusion index(PI),time to peak(TTP),and mean transit time(MTT)did not show statistical differences.The multi-factor logistic regression model based on spectral parameters showed strong discriminatory performance:the area under the curve(AUC)of the LUAD and LUSC discrimination model was 0.806/0.77(training group/test group)in the arterial phase and 0.867/0.9(training group/test group)in the venous phase;the AUC of the LUAD and SCLC discrimination model was 0.885/0.883(training group/test group)in the arterial phase and 0.851/0.776(training group/test group)in the venous phase.Conclusion This study indicates that the multi-dimensional functional metabolic analysis indicators of spectral and perfusion CT imaging have significant value in the differential diagnosis of lung cancer pathological subtypes.The diagnostic model constructed by combining multiple spectral parameters can significantly improve the discrimination efficacy of lung adenocarcinoma,squamous cell carcinoma,and small cell lung cancer,providing precise imaging evidence for the formulation of individualized treatment plans.

Objective:To investigate the current status of implementing medical insurance performance evaluation in the hospitals of China under the background of China Healthcare Security Diagnosis Related Groups (CHS-DRG) and Diagnosis-Intervention Packet (DIP) payment reform, explore the perspectives and recommendations of key department leaders (e.g., health insurance, medical affairs, pricing, and performance evaluation departments) regarding health insurance performance evaluation, analyze the influencing factors in its implementation, so as to provide references for hospitals to develop and refine health insurance performance evaluation strategies.Methods:A questionnaire was designed and distributed to hospitals across 31 provincial-level administrative regions in China from December 1 to 31, 2023. The survey targeted secondary and tertiary general or specialized hospitals. The main responsible persons from four functional departments, including medical insurance, healthcare, pricing, and performance, were invited to participate in the survey. Descriptive analysis was conducted on the questionnaire data, and the chi-square test was used for differential analysis of unordered categorical variables, while the Wilcoxon rank sum test was used for differential analysis of ordered categorical variables.Results:A total of 761 valid questionnaires were collected. Most respondents were health insurance department leaders (420, 55.19%). Among them, 741 respondents reported that their hospitals used CHS-DRG or DIP payment, with 258 indicating that their hospitals had already developed and implemented health insurance performance evaluation plans. A majority (685, 90.01%) expressed support for such initiatives. Influencing factor analysis revealed that hospital type, level, scope of health insurance management departments, and payment methods might impact the implementation of health insurance performance evaluation ( P<0.05). Conclusions:Few hospitals have currently adopted health insurance performance evaluation, underscoring the urgency to establish a scientific and reasonable evaluation plan as a robust tool for internal hospital management.

To analyze the factors affecting the cost of hospitalization for patients and provide insights using the intrauterine lesion surgery group (DRG code NE19) as an example.

Purpose/Significance To analyze relevant patented technologies,and to provide experience for medical and commercial health insurance institutions to break through the data interaction blocking point and construct a multi-level medical security system.Method/Process The patentometrics method is used to analyze the data interaction patent technology between medical and health insurance institutions from four aspects:time trend,regional distribution,category distribution and text clustering.Result/Conclusion China should pay attention to the role of data interaction in deepening cooperation between medical and insurance institutions,improve the declaration,authorization,application and protection of high-quality patents,pay attention to cross-border integration and technology-driven,and innovate patent layout to meet technological development and social needs.

Objective:To accurately identify kidney stones and renal papillary calcification in civil aviation pilots by using an artificial intelligence model based on CT imaging.Methods:The imaging data of 135 civil pilots with kidney stones or renal papillary calcification confirmed by flexible ureteroscope who underwent urinary CT examination in Civil Aviation General Hospital from August 2015 to May 2021 were retrospectively analyzed. Preoperative CT images of all patients were analyzed blindly by 2 radiologists and recall and accuracy rates were calculated. Pilots with kidney stones and renal papillary calcification were randomly assigned as the training set and test set in a ratio of 4∶1 respectively. An artificial intelligence model was constructed based on preoperative CT plain scan images of training set. The test set was used to detect the model and calculate the recall rate and accuracy rate of the final model in the diagnosis of the 2 types of lesions.Results:Data from 86 pilots with kidney stones and 49 pilots with renal papillary calcification were used to build the model and the training iteration of model establishment was stopped at the 50th time. The final results of the model interpretation test set showed that the recall rate and accuracy rate diagnosing kidney stones was 87.58% and 97.17%, respectively, and the recall rate and accuracy rate diagnosing renal sinus calcification was 96.07% and 92.83%, respectively, and the accuracy rate of the model in diagnosing kidney stones and renal sinus calcification was 96.57%.Conclusions:The artificial intelligence model based on CT imaging has a certain clinical value for the rapid and accurate determination of kidney stones and renal papillary calcification by air crew examiners in civil aviation.

Objective:To accurately identify kidney stones and renal papillary calcification in civil aviation pilots by using an artificial intelligence model based on CT imaging.Methods:The imaging data of 135 civil pilots with kidney stones or renal papillary calcification confirmed by flexible ureteroscope who underwent urinary CT examination in Civil Aviation General Hospital from August 2015 to May 2021 were retrospectively analyzed. Preoperative CT images of all patients were analyzed blindly by 2 radiologists and recall and accuracy rates were calculated. Pilots with kidney stones and renal papillary calcification were randomly assigned as the training set and test set in a ratio of 4∶1 respectively. An artificial intelligence model was constructed based on preoperative CT plain scan images of training set. The test set was used to detect the model and calculate the recall rate and accuracy rate of the final model in the diagnosis of the 2 types of lesions.Results:Data from 86 pilots with kidney stones and 49 pilots with renal papillary calcification were used to build the model and the training iteration of model establishment was stopped at the 50th time. The final results of the model interpretation test set showed that the recall rate and accuracy rate diagnosing kidney stones was 87.58% and 97.17%, respectively, and the recall rate and accuracy rate diagnosing renal sinus calcification was 96.07% and 92.83%, respectively, and the accuracy rate of the model in diagnosing kidney stones and renal sinus calcification was 96.57%.Conclusions:The artificial intelligence model based on CT imaging has a certain clinical value for the rapid and accurate determination of kidney stones and renal papillary calcification by air crew examiners in civil aviation.